The purpose of this book is to improve our understanding of the role of terrestrial vegetation in carbon cycle and its variation under climate variability. A combination between meteorological and remote sensing data using various techniques and software were employed to identify and forecast change in Gross Primary Production (GPP). The vegetation greenness and GPP were obtained from remote sensing data because of the advantages in terms of continuous monitoring and cover the various land cover types. The method used for this research included spatial interpolation, digital image processing,...